Publication Name	World Journal of Gastroenterology
Manuscript ID	101804
Country	United States

Received	2024-09-26 18:33
Peer-Review Started	2024-09-26 18:33
To Make the First Decision
Return for Revision	2025-01-22 05:20
Revised	2025-01-22 12:03
Second Decision	2025-02-20 02:36
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2025-02-20 07:45
Articles in Press	2025-02-20 07:45
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript	2025-03-05 02:50
Publish the Manuscript Online	2025-03-13 10:11

ISSN	1007-9327 (print) and 2219-2840 (online)
Open Access	Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/Licenses/by-nc/4.0/
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Category	Gastroenterology & Hepatology
Manuscript Type	Letter to the Editor
Article Title	Improving radiomics-based models for esophagogastric variceal bleeding risk prediction in cirrhotic patients
Manuscript Source	Invited Manuscript
All Author List	Arunkumar Krishnan
ORCID	Author(s) ORCID Number Arunkumar Krishnan http://orcid.org/0000-0002-9452-7377
Funding Agency and Grant Number
Corresponding Author	Arunkumar Krishnan, Assistant Professor, MD, Department of Supportive Oncology, Atrium Health Levine Cancer, 1021 Morehead Medical Drive, Suite 70100, Charlotte, NC 28204, United States. dr.arunkumar.krishnan@gmail.com
Key Words	Artificial intelligence; Cirrhosis; Radiomics; Esophagogastric variceal bleeding; Esophageal Varices; Bleeding
Core Tip	A study by Peng et al developed a combined multi-organ radiomics and clinical model to predict the risk of first-instance secondary esophageal variceal bleeding in cirrhotic patients. The model demonstrated high predictive accuracy, with an area under the curve of 0.951 in the training cohort, highlighting its potential for noninvasive risk stratification. By integrating radiomic features and clinical data, the model offers a more detailed approach to predicting esophageal variceal bleeding, helping clinicians make timely decisions. While the findings are promising, validating the model further using diverse and larger patient cohorts and considering including additional factors to maximize its clinical relevance and applicability is recommended.
Publish Date	2025-03-13 10:11
Citation	<p>Krishnan A. Improving radiomics-based models for esophagogastric variceal bleeding risk prediction in cirrhotic patients. <i>World J Gastroenterol</i> 2025; 31(11): 101804</p>
URL	https://www.wjgnet.com/1007-9327/full/v31/i11/101804.htm
DOI	https://dx.doi.org/10.3748/wjg.v31.i11.101804

Full Article (PDF)	WJG-31-101804-with-cover.pdf
Manuscript File	101804_Auto_Edited_024129.docx
Answering Reviewers	101804-answering-reviewers.pdf
Audio Core Tip	101804-audio.mp4
Conflict-of-Interest Disclosure Form	101804-conflict-of-interest-statement.pdf
Copyright License Agreement	101804-copyright-assignment.pdf
Peer-review Report	101804-peer-reviews.pdf
Scientific Misconduct Check	101804-scientific-misconduct-check.png
Scientific Editor Work List	101804-scientific-editor-work-list.pdf
CrossCheck Report	101804-crosscheck-report.pdf